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MiniMax XLSX

Free

Effortlessly handle Excel and spreadsheet files with Python.

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Free · Opens the source repo

What MiniMax XLSX does

MiniMax XLSX is a versatile skill designed for managing Excel spreadsheet files, including .xlsx, .xlsm, .csv, and .tsv formats. It allows users to create, read, analyze, edit, validate, and format spreadsheet data efficiently. The skill is built on Python and Bash, leveraging a set of scripts that interact with the underlying XML structure of Excel files, ensuring that operations maintain the integrity of the original data and formatting. Whether you need to build a new spreadsheet from scratch or modify an existing one, MiniMax XLSX provides the necessary tools to do so without any loss of formatting or data integrity.

This skill is particularly useful for developers and data analysts who frequently work with Excel files in their projects. It supports a range of tasks such as reading and analyzing data using pandas, creating new spreadsheets with predefined templates, and editing existing files while preserving their original structure. The skill also includes functionality for validating formulas and fixing broken ones, making it a comprehensive solution for anyone dealing with spreadsheet data.

MiniMax XLSX is ideal for users who need to automate tasks related to financial models, pivot tables, or any tabular data management in Excel. With its ability to handle complex operations like inserting rows, adding formulas, and applying professional formatting standards, this skill streamlines the workflow for those who regularly interact with Excel files. By using MiniMax XLSX, users can save time and reduce errors in their spreadsheet management tasks, allowing them to focus on analysis and decision-making instead.

In summary, MiniMax XLSX is a powerful tool for anyone looking to enhance their productivity when working with Excel files. Its robust feature set and adherence to best practices for data integrity make it a valuable addition to any developer's toolkit.

When to use it

Use MiniMax XLSX when you need to automate tasks involving Excel files, such as creating, editing, or validating spreadsheet data.

When not to use it

Avoid this skill for tasks that require advanced Excel features not supported by the XML manipulation approach, such as complex VBA scripting.

What you can build with it

Automating Financial Reports

Use MiniMax XLSX to generate and format financial reports in Excel, ensuring consistency and accuracy.

Data Analysis with Pandas

Leverage the skill to read and analyze large datasets from Excel files using pandas for quick insights.

Updating Existing Spreadsheets

Easily modify existing spreadsheets by adding new data or formulas without losing original formatting.

How to install MiniMax XLSX

View source

1. Install with the skills CLI

npx skills add minimax-ai/skills/minimax-xlsx --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by minimax-ai

MiniMax XLSX Skill

Handle the request directly. Do NOT spawn sub-agents. Always write the output file the user requests.

Task Routing

TaskMethodGuide
READ — analyze existing dataxlsx_reader.py + pandasreferences/read-analyze.md
CREATE — new xlsx from scratchXML templatereferences/create.md + references/format.md
EDIT — modify existing xlsxXML unpack→edit→packreferences/edit.md (+ format.md if styling needed)
FIX — repair broken formulas in existing xlsxXML unpack→fix <f> nodes→packreferences/fix.md
VALIDATE — check formulasformula_check.pyreferences/validate.md

READ — Analyze data (read references/read-analyze.md first)

Start with xlsx_reader.py for structure discovery, then pandas for custom analysis. Never modify the source file.

Formatting rule: When the user specifies decimal places (e.g. "2 decimal places"), apply that format to ALL numeric values — use f'{v:.2f}' on every number. Never output 12875 when 12875.00 is required.

Aggregation rule: Always compute sums/means/counts directly from the DataFrame column — e.g. df['Revenue'].sum(). Never re-derive column values before aggregation.

CREATE — XML template (read references/create.md + references/format.md)

Copy templates/minimal_xlsx/ → edit XML directly → pack with xlsx_pack.py. Every derived value MUST be an Excel formula (<f>SUM(B2:B9)</f>), never a hardcoded number. Apply font colors per format.md.

EDIT — XML direct-edit (read references/edit.md first)

CRITICAL — EDIT INTEGRITY RULES:

  1. NEVER create a new Workbook() for edit tasks. Always load the original file.
  2. The output MUST contain the same sheets as the input (same names, same data).
  3. Only modify the specific cells the task asks for — everything else must be untouched.
  4. After saving output.xlsx, verify it: open with xlsx_reader.py or pandas and confirm the original sheet names and a sample of original data are present. If verification fails, you wrote the wrong file — fix it before delivering.

Never use openpyxl round-trip on existing files (corrupts VBA, pivots, sparklines). Instead: unpack → use helper scripts → repack.

"Fill cells" / "Add formulas to existing cells" = EDIT task. If the input file already exists and you are told to fill, update, or add formulas to specific cells, you MUST use the XML edit path. Never create a new Workbook(). Example — fill B3 with a cross-sheet SUM formula:

python3 SKILL_DIR/scripts/xlsx_unpack.py input.xlsx /tmp/xlsx_work/
# Find the target sheet's XML via xl/workbook.xml → xl/_rels/workbook.xml.rels
# Then use the Edit tool to add <f> inside the target <c> element:
#   <c r="B3"><f>SUM('Sales Data'!D2:D13)</f><v></v></c>
python3 SKILL_DIR/scripts/xlsx_pack.py /tmp/xlsx_work/ output.xlsx

Add a column (formulas, numfmt, styles auto-copied from adjacent column):

python3 SKILL_DIR/scripts/xlsx_unpack.py input.xlsx /tmp/xlsx_work/
python3 SKILL_DIR/scripts/xlsx_add_column.py /tmp/xlsx_work/ --col G \
    --sheet "Sheet1" --header "% of Total" \
    --formula '=F{row}/$F$10' --formula-rows 2:9 \
    --total-row 10 --total-formula '=SUM(G2:G9)' --numfmt '0.0%' \
    --border-row 10 --border-style medium
python3 SKILL_DIR/scripts/xlsx_pack.py /tmp/xlsx_work/ output.xlsx

The --border-row flag applies a top border to ALL cells in that row (not just the new column). Use it when the task requires accounting-style borders on total rows.

Insert a row (shifts existing rows, updates SUM formulas, fixes circular refs):

python3 SKILL_DIR/scripts/xlsx_unpack.py input.xlsx /tmp/xlsx_work/
# IMPORTANT: Find the correct --at row by searching for the label text
# in the worksheet XML, NOT by using the row number from the prompt.
# The prompt may say "row 5 (Office Rent)" but Office Rent might actually
# be at row 4. Always locate the row by its text label first.
python3 SKILL_DIR/scripts/xlsx_insert_row.py /tmp/xlsx_work/ --at 5 \
    --sheet "Budget FY2025" --text A=Utilities \
    --values B=3000 C=3000 D=3500 E=3500 \
    --formula 'F=SUM(B{row}:E{row})' --copy-style-from 4
python3 SKILL_DIR/scripts/xlsx_pack.py /tmp/xlsx_work/ output.xlsx

Row lookup rule: When the task says "after row N (Label)", always find the row by searching for "Label" in the worksheet XML (grep -n "Label" /tmp/xlsx_work/xl/worksheets/sheet*.xml or check sharedStrings.xml). Use the actual row number + 1 for --at. Do NOT call xlsx_shift_rows.py separately — xlsx_insert_row.py calls it internally.

Apply row-wide borders (e.g. accounting line on a TOTAL row): After running helper scripts, apply borders to ALL cells in the target row, not just newly added cells. In xl/styles.xml, append a new <border> with the desired style, then append a new <xf> in <cellXfs> that clones each cell's existing <xf> but sets the new borderId. Apply the new style index to every <c> in the row via the s attribute:

<!-- In xl/styles.xml, append to <borders>: -->
<border>
  <left/><right/><top style="medium"/><bottom/><diagonal/>
</border>
<!-- Then append to <cellXfs> an xf clone with the new borderId for each existing style -->

Key rule: When a task says "add a border to row N", iterate over ALL cells A through the last column, not just newly added cells.

Manual XML edit (for anything the helper scripts don't cover):

python3 SKILL_DIR/scripts/xlsx_unpack.py input.xlsx /tmp/xlsx_work/
# ... edit XML with the Edit tool ...
python3 SKILL_DIR/scripts/xlsx_pack.py /tmp/xlsx_work/ output.xlsx

FIX — Repair broken formulas (read references/fix.md first)

This is an EDIT task. Unpack → fix broken <f> nodes → pack. Preserve all original sheets and data.

VALIDATE — Check formulas (read references/validate.md first)

Run formula_check.py for static validation. Use libreoffice_recalc.py for dynamic recalculation when available.

Financial Color Standard

Cell RoleFont ColorHex Code
Hard-coded input / assumptionBlue0000FF
Formula / computed resultBlack000000
Cross-sheet reference formulaGreen00B050

Key Rules

  1. Formula-First: Every calculated cell MUST use an Excel formula, not a hardcoded number
  2. CREATE → XML template: Copy minimal template, edit XML directly, pack with xlsx_pack.py
  3. EDIT → XML: Never openpyxl round-trip. Use unpack/edit/pack scripts
  4. Always produce the output file — this is the #1 priority
  5. Validate before delivery: formula_check.py exit code 0 = safe

Utility Scripts

python3 SKILL_DIR/scripts/xlsx_reader.py input.xlsx                 # structure discovery
python3 SKILL_DIR/scripts/formula_check.py file.xlsx --json         # formula validation
python3 SKILL_DIR/scripts/formula_check.py file.xlsx --report      # standardized report
python3 SKILL_DIR/scripts/xlsx_unpack.py in.xlsx /tmp/work/         # unpack for XML editing
python3 SKILL_DIR/scripts/xlsx_pack.py /tmp/work/ out.xlsx          # repack after editing
python3 SKILL_DIR/scripts/xlsx_shift_rows.py /tmp/work/ insert 5 1  # shift rows for insertion
python3 SKILL_DIR/scripts/xlsx_add_column.py /tmp/work/ --col G ... # add column with formulas
python3 SKILL_DIR/scripts/xlsx_insert_row.py /tmp/work/ --at 6 ...  # insert row with data

Frequently asked questions about MiniMax XLSX

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